Forward Deployed Engineer, Japan - Remote

telnyx54; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

telnyx54 seeks a senior engineer to embed with enterprise customers in Tokyo, architecting and shipping production systems on a global AI network. You will own the technical path from discovery through architecture, POC, and production go-live, focusing on real workloads like AI contact centers and global communications.

The role requires 3+ years shipping production software, expertise in Python/Node.js/TypeScript/Go, and Kubernetes. Hybrid work with travel in Japan/APAC is expected.

Qualifications

• 3+ years building and shipping production software.
• Proficiency in Python, Node.js or TypeScript, and Go.
• Experience deploying containerized services on Kubernetes.
• Strong English communication; Japanese language skills are a plus.
• Based in Tokyo or willing to relocate; hybrid with travel across Japan/APAC.

Responsibilities

• Embed with enterprise customers to understand workflows, AI use cases, and integration challenges.
• Build and deploy custom implementations including AI voice assistants, voice, messaging, fax, wireless, and WebRTC integrations.
• Run and operate open-weight LLMs through hosted inference or self-hosted stacks, including deploying LiteLLM as a model gateway.
• Instrument LLM usage with cost tracking, observability, and guardrails; wire production observability for everything shipped.
• Lead POCs, pilots, and production launches from whiteboard to go-live, owning customer outcomes until stable.
• Collaborate with Product and Engineering to shape the roadmap based on field insights across Japan and APAC.

Skills

Python

Node.js/TypeScript

Go

API development

Tools

Kubernetes

Prometheus

Grafana

OpenTelemetry

Graylog

ELK

Kafka

Job description

Role overview

Embed with enterprise customers in Tokyo as part of a two-person pod alongside a dedicated Account Executive, architecting and shipping production systems on a global communications and AI network. The role is outcome-led, focused on real workloads such as AI contact centers, global communications, and enterprise inference rather than product demos. You will own the technical path from discovery through architecture, POC, and production go-live.

Responsibilities

• Embed with enterprise customers to understand communications workflows, AI use cases, and integration challenges
• Build and deploy custom implementations including AI Voice Assistants, voice, messaging, fax, wireless, and WebRTC integrations
• Run and operate open-weight LLMs through hosted inference or self-hosted stacks, including deploying LiteLLM as a model gateway with routing, fallbacks, and virtual keys
• Instrument LLM usage with cost tracking, caching, observability, and guardrails, and wire production observability for everything shipped
• Lead POCs, pilots, and production launches from whiteboard to go-live, owning customer outcomes until stable
• Collaborate with Product and Engineering to shape the roadmap based on field insights across Japan and APAC

Requirements

• 3+ years building and shipping production software, including being on-call and debugging live systems
• Proficiency in Python, Node.js or TypeScript, and Go, with comfort deploying containerized services on Kubernetes and managing secrets, config, and upgrades
• Practical understanding of provider rate limits, timeouts, retries, streaming, token accounting, and concurrency failure modes
• Hands-on experience wiring observability stacks such as Prometheus, Grafana, OpenTelemetry, Graylog, or ELK
• High-concurrency experience with Kafka, message queues, or event streams, and a track record of building APIs from scratch including auth, rate limiting, versioning, and idempotency
• Customer-facing engineering experience with strong written and verbal English communication; Japanese language skills are a plus
• Based in Tokyo or willing to relocate; hybrid with travel across Japan and APAC; must be legally authorized to work in Japan or eligible for sponsorship

Nice to have

• Experience with AI voice assistants, STT/TTS, or LLM-based conversational systems, plus building domain-specific evaluation sets
• Hands-on production experience with an LLM gateway such as LiteLLM, Portkey, or Kong AI Gateway
• Familiarity with open-weight and Japanese-language models including Swallow, PLaMo, ELYZA, and Rinna, plus inference engines like vLLM, SGLang, TGI, or Ollama
• SQL proficiency, ETL and data wrangling experience, and CI/CD pipeline design
• Background in telecom, CPaaS, or high-growth SaaS, plus experience with sovereign or on-prem cloud deployments under Japan/APAC regulatory frameworks
• Security mindset covering IAM, encryption, and audit logging